- get_context_window() now reads litellm.get_model_info().max_input_tokens
instead of get_max_tokens(), which returns the output cap and severely
under-reported the window for every mapped model (e.g. deepseek 8k vs 1M)
- models litellm cannot map fall back to 128000 with a single warning per
model instead of warning on every call and returning None
- raise LLMConfig.max_tokens default 8192 -> 32768 to match the template
- README: configure the API key directly in llm_config.yaml; document
max_tokens / context_window in the example
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Loguru has no exc_info kwarg: extra kwargs are str.format() arguments, so
logger.error(f"...{e}", exc_info=True) forces .format() on the rendered
message — any error text containing braces (e.g. a JSON error body) raises
KeyError FROM the log call itself, escaping the surrounding except block and
killing the caller (observed: whole agent turns dying in benchmark runs).
The intended traceback was also never logged, since exc_info is not a loguru
feature.
Batch fix of all 143 sites across 11 files:
logger.X(msg, exc_info=True) -> logger.opt(exception=True).X(msg)
(one exc_info=exc site -> opt(exception=exc))
Messages are byte-identical; with the kwarg gone loguru never calls
.format(), so brace-containing f-string messages are inert.
Verified: AST post-conditions per file, py_compile, import smoke of all
modules, behavioral equivalence of the 3 patterns, full unit suite (1549
passed) with a failure set identical to the pristine tree (22 pre-existing,
zero regressions).
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Also add pixel-agents to the README acknowledgements.
chaohuang-ai